Entry-Level Data Analyst

Job Description

Embark on your career as an entry-level Data Analyst at codevista, a fully remote position allowing you to work from anywhere in Australia. Dive into data analysis tasks using tools like SQL, Excel, and Tableau to generate insights that drive business decisions. Enjoy the flexibility of remote work, with asynchronous collaboration and supportive tools to help you thrive in a dynamic, home-based environment. Perfect for motivated beginners eager to learn and contribute.

Full Description

As an entry-level Data Analyst at codevista, you'll join a forward-thinking team dedicated to leveraging data for innovative solutions. This remote role offers the freedom to work from any location in Australia, providing the ideal setup for balancing professional growth with personal life. Our company, codevista, specializes in tech-driven projects, and your contributions will directly impact our clients' success.

In this position, you'll start by assisting with data collection and cleaning, ensuring datasets are accurate and ready for analysis. You'll use foundational tools such as Microsoft Excel for basic manipulations and pivot tables, and SQL for querying databases to extract relevant information. As you gain confidence, you'll create simple visualizations using Tableau or Power BI, helping to communicate findings through dashboards and reports. Expect to support senior analysts by preparing data summaries and identifying trends that inform business strategies.

Remote work at codevista is designed for efficiency and collaboration. We use Slack for daily communication, Zoom for team meetings, and Microsoft Teams for virtual stand-ups. Asynchronous updates via shared documents in Google Workspace or Notion ensure you can manage your time effectively, accommodating different time zones if needed. Our culture emphasizes trust and autonomy, with regular check-ins to provide feedback and guidance tailored to entry-level professionals.

Key responsibilities include:

• Gathering and organizing data from various sources, such as spreadsheets and databases.

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• Performing basic statistical analysis to spot patterns and anomalies.
• Assisting in the development of reports that highlight key metrics for stakeholders.
• Collaborating remotely with cross-functional teams to understand data needs.
• Learning and applying data visualization techniques to make insights accessible.

To succeed, you'll need a solid foundation in quantitative methods, perhaps from a recent degree in statistics, computer science, or a related field. Familiarity with Excel is essential, and any exposure to SQL or Python will be a plus, though we'll provide training resources. This role is perfect for self-starters who excel in independent work environments.

We prioritize work-life balance with flexible hours—typically 40 hours per week, but adjustable as long as deadlines are met. Onboarding includes virtual training sessions to familiarize you with our tools and processes. As part of codevista's commitment to growth, you'll have access to online courses on platforms like Coursera for skill enhancement in data analysis methodologies.

Working remotely means you'll need a reliable internet connection and a quiet workspace, but we support you with stipends for equipment. Join us to build your expertise in a supportive, remote-first company where entry-level talent is nurtured. Visit https://codevistaa.com/ to learn more about our mission and projects. This opportunity is ideal for those passionate about data and ready to contribute from day one in a collaborative, virtual setting.

Requirements

• Bachelor's degree in a relevant field like statistics, mathematics, or computer science (or equivalent experience)
• Basic proficiency in Microsoft Excel and introductory knowledge of SQL
• Strong analytical thinking and attention to detail
• Excellent self-motivation and time management skills for remote work
• Ability to communicate effectively via digital tools like email and video calls
• Willingness to learn new tools and methodologies quickly
• Reliable high-speed internet and a dedicated workspace